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All Journal Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika)
S, Saifullah
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Computer Science & IT Decision Sciences, Operations Research & Management

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Penerapan Algoritma C4.5 Dalam Klasifikasi Penerima Kartu Keluarga Sejahtera (KKS) prajoko, Arief; Sembiring, rahmat Widiya; S, Saifullah
Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Vol 6, No 1 (2021): Edisi Februari
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/jurasik.v6i1.281

Abstract

The purpose of this study is to classify data on families who are entitled to receive a Prosperous Family Card (KKS), because there are still many other poor families who have not had the opportunity to receive this assistance program. Sources of data obtained from the Panghulu Nagori Mekar Rejo office, Bosar Maligas District, Simalungun Regency. The method used in this research is the C4.5 algorithm data mining technique which is implemented with the RapidMiner 5.3 application. The variables used in determining which families are entitled to receive a Prosperous Family Card (KKS) are (1) Occupation, (2) Income of the Head of the Family, (3) Number of Dependents, (4) Highest Education, (5) Condition of the House Building. The results of the classification using the C4.5 algorithm and testing with the Rapidminer software found that the factor that determines the feasibility of providing the Prosperous Family Card (KKS) assistance is C2 (Head of Household Income) with the highest gain value, namely 0.46880137
Analisis Metode Backpropagation Memprediksi Penerimaan Santri/Wati di Pondok Pesantren Modern Al-Kautsar Wijaya, Parta; sembiring, Rahmat Widiya; S, Saifullah
Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Vol 6, No 1 (2021): Edisi Februari
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/jurasik.v6i1.278

Abstract

The development of technology today with the existence of artificial intelligence, conducted research to prove the Backpropagation method can predict students / wati in the modern boarding school Al-Kautsar. Artificial neural network is a method that is able to perform mathematical processes in predicting santri / wati. Bacpropagation algorithm is used to process data that is implemented with Matlab. Where data is collected through direct observation. Data is grouped by majors. The results obtained from the Matlab test performace and epoch values of each architecture are not the same as the results of the tests are displayed in the form of a graph comparing the target value with the research and testing process. The results of this study provide information on the modern Al-Kautsar boarding school on the number of registrants in 2020
Co-Authors prajoko, Arief Sembiring, rahmat Widiya Wijaya, Parta